Abstract
Objective:
To test the diagnostic accuracy of a new automatic algorithm for ictal onset source localization
(IOSL) during routine presurgical epilepsy evaluation following STARD (Standards for Reporting of Diagnostic Accuracy) criteria.
Methods:
We included 28 consecutive patients with refractory focal epilepsy (25 patients with temporal
lobe epilepsy (TLE) and 3 with extratemporal epilepsy) who underwent resective epilepsy surgery. Ictal
EEG patterns were analyzed with a novel automatic IOSL algorithm. IOSL source localizations on a sublobar
level were validated by comparison with actual resection sites and seizure free outcome 2 years after surgery.
Results: Sensitivity of IOSL was 92.3% (TLE: 92.3%); specificity 60% (TLE: 50%); positive predictive value
66.7% (TLE: 66.7%); and negative predictive value 90% (TLE: 85.7%). The likelihood ratio was more than
ten times higher for concordant IOSL results as compared to discordant results (p = 0.013).
Conclusions: We demonstrated the clinical feasibility of our IOSL approach yielding reasonable high
performance measures on a sublobar level.
Significance: Our IOSL method may contribute to a correct localization of the seizure onset zone in temporal
lobe epilepsy and can readily be used in standard epilepsy monitoring settings. Further studies are needed
for validation in extratemporal epilepsy.
Original language | English |
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Pages (from-to) | 1291-1299 |
Number of pages | 9 |
Journal | Clinical Neurophysiology |
Volume | 129 |
Issue number | 129 |
Publication status | Published - 2018 |
Research Field
- Exploration of Digital Health
Keywords
- new automatic algorithm
- for
- ictal
- onset source localization
- during
- routin
- presurgical
- epilepsy
- evaluation
- IOSL
- extratemporal
- feasibility
- likelihood